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Can You Become a Data Scientist?


Every decade has its hottest job opportunities. During the 1980s and early 1990s people were
in a rush to apply for investment banking jobs. Then, in the late 1990s and early 2000s, it
became clear that the Internet will soon change the world and a lot of tech savvy graduates
started specializing in software and web development. Today, it is ever clearer that big data, machine
learning, and artificial intelligence will become (and in some ways already are) the
key success factor that will determine whether businesses will be successful or not in the
coming years. That said, it comes as no surprise that the
hottest opportunity on the job market in 2017 and 2018 is the data scientist profession. The title “data scientist” sounds sophisticated
and scares off people, but perhaps dissecting the typical profile of these professionals
will help us show you they are, in fact, human, and if you were so inclined, you too could
embark on the journey of becoming a data scientist. Certainly, at a glance the title “data scientist”
has an air of sophistication and pretense, but the data begs to differ. Crunching the numbers, it becomes obvious
that there are traits data scientists share. To gain a better understanding of the typical
data scientist profile, our team collected information from the LinkedIn profiles of
1,001 data scientist professionals. Unlike previous publications, the primary
source of data we used were not job ads, which skew findings towards the employers’ point
of view. Instead, we relied on information posted by
data scientists themselves. The underlying assumption was that one’s
LinkedIn profile is a good estimator of their resume. Then we proceeded to assign company and country
quotas to limit bias. The cohort was divided into two groups depending
on whether a person was employed by a Fortune 500 Company or not. In addition, the sample involved data scientists
working in the US (around 40% of our sample), UK (another 30%), India (accounting for 15%),
and other countries (the remaining 15%). Convenience sampling was used, due to limited
data accessibility. Once we gathered the numbers, we stumbled
upon several interesting findings. The typical data scientist profile looks is
a male, who speaks one foreign language, with four and a half years of overall work experience
(this is a median). He works with R and/or Python, and holds a
Master’s and/or a PhD degree. Just from this simple overview, we get several
noteworthy insights: You can be promoted to data scientist fairly
quickly. Assuming you graduate your Master’s before
turning 25, or your PhD before 30, a conservative estimate is that by the age of 30 to 35 you
can expect to be a professional whose job title reads “data scientist”. Another interesting finding is that R and
Python are on the rise. Previous research shows that the two programming
languages are increasing in popularity in the data science world, and that this is happening
at the expense of other languages like Java and C/C++. The results observed here corroborate this
trend. You need to start learning R and Python if
you want to become a data scientist in 2018. In addition, we can conclude that this is
a job for highly educated people. Of course, there is the occasional exception
to the rule, but three out of four data scientists in the cohort held a Master’s or a PhD degree. Indeed, data science is a profession that
requires strong academic background. However, given that this is a relatively new
field, it comes as no surprise that the data scientists included in the study have heterogeneous
academic profiles. Degrees such as Computer Science, Statistics
and Mathematics, Economics and Social Sciences, Data Science and Analysis, Natural Sciences,
and Engineering dominated the field with 91% of the professionals having graduated from
one of them. The conclusion? Universities and colleges still struggle to
meet the growing job market demand for data scientists and companies hire intelligent
candidates with different backgrounds. These people have probably been able to acquire
the skills employers look for on their own through self-preparation or through extensive
on-the-job training. How can one self-prepare to become a data
scientist? Some of the most popular online courses teach
people how to run machine learning algorithms in Python and R, and how to deal with databases. E-learning is definitely a resource many data
scientists take advantage of. The study shows that 40% of data scientists
have posted an online certificate on their LinkedIn profile, and the average number of
certificates per person is 3. Is this a job for people coming from top tier
universities only? It isn’t, actually. Yes, more than 28% of data scientists came
from top tier universities (top 50 in the “Times Higher Education” world university
ranking), but a significant portion of professionals (more than 25%) graduated from schools that
were not even included in the ranking or were ranked after the 1000th place. So, if you are an aspiring data scientist
who is about to graduate (or has graduated from) a non-target school, you shouldn’t
worry too much – you still have significant chances of landing the job. Self-preparation looks like the key to success
in the current environment. Which are the industries hiring the most data
scientists? It has got to be the Tech/IT industry, right? Indeed, it is. Technology companies are seen as a symbol
of innovation. Moreover, data science is essential for such
firms as it helps them read online behavior patterns, understand customers’ desires,
analyze online search, improve product offering, and so on… Industrial firms come in second, hiring more
than 37% of data scientists, while the financial (15%) and healthcare (5%) sectors come in
as third and fourth, respectively. It gets even more interesting if we dissect
this data by country. We begin to see that the financial industry
in the UK employs a significantly higher percentage of data scientists (~20%) with respect to
the other clusters. And it makes sense: London is known as Europe’s
financial capital and plenty of financial, trading, and brokerage firms reside there. The job market in India, on the other hand,
mainly employs data scientists in the Tech/IT sector. This is coherent with the country’s status
as the world’s prime destination for outsourcing of Tech and IT services. Our conclusion? Hopefully, this research paints a clearer
picture for you and helps you understand the core skills and qualifications people currently
employed as data scientists have. In addition, the country-wise segmentation
is invaluable, as geographical differences pertain, and so does the skill set required
to land the job. If you are interested in a solid data science
preparation starting from scratch make sure you visit our website 365datascience.com where
you can start your preparation and see if this is the career path for you.

Glenn Chapman

72 Comments

  1. thank you very much sir. it has really helped a lot me. i have copied most of the valuable points from this lecture and posted on my LinkedIn profile individually(https://www.linkedin.com/in/alisajadg191/)
    if you could allow me i can make it to article and update on my LinkedIn profile. I will give credits to you as well. I am looking forward to your response. I am overwhelmed to you for clearing everything to me regards data science. I wish you all the best and look forward to you for exciting material to come. thanks once again.

  2. more people could become Data Alchemists, it's much less strenuous and there are no necessary qualifications!

  3. Does the research for this video qualify as data science? They got data from LinkedIn and answered questions from that data. Or is it data analytics?

  4. Thanks for the information you provided, very clear and understandable.

  5. Hi 365 Data Science,
    Could you please take a video for explaining what template matching is ?
    Thanks in advance.

  6. That's funny. The best data scientists I know don't update their linkedin profiles unless they are looking for a new job, and the ones working for a fortune 500 company are rarely looking…

  7. Damn that indian girl just talk constantly causing nervous laughter in the poor guy

  8. I hold masters degree in civil engineering….Am i eligible to become data scientist by takingup a classroom course? @365 Data Science

  9. Learn Data Science for free
    https://www.youtube.com/watch?v=pAXm75tHj6c&t=1323s

  10. Nice job..very informative & presentable.. which software is used for making this?

  11. I'm a data scientist and while either R and Python are essential, so is SQL. Without SQL you can never do the job.

  12. Now at present Learning Python Programming will getting chances in all fields. @LearnTheNew

  13. The free course that you have provided link ,will it be enough to get a data scientist job?

  14. I recently started The Data Science Course 2019: Complete Data Science Bootcamp on Udemy, and it seems like the Data Scientist Track you offer via your website is a highly beefed up version of the Udemy course with the course going into more detail on the various components and skill sets to help a true novice get to a proficient level to land a data science job. Is this so? I am currently taking the IBM Data Science Professional Certificate course and the Data Scientist in Python Path on Dataquest. I also plan to use DataCamp, and after seeing your program, I may have to add it to my current curriculum as it is my goal at the very minimum to land a job as an entry level data scientist by the summer of 2020. My reasoning for taking multiple courses is that it helps reinforce what I am learning from various teaching styles.

  15. I think anyone can become a data scientist with little programming knowledge. We just need to have a start with foundation level of course. Check out this classroom training it really inspired me https://www.youtube.com/watch?v=3A432PkK_-Y

  16. The Primary Key and other affairs…………………..

  17. Thank you so much for such a valuable info!
    Quality content and graphics.

  18. Data science is basically statistics with more computers (so you have to learn to program too)

  19. the US will be deleted by China in data science in next coming decades.

  20. Hi Can someone help me.. I have completed only Bachelor Of Computer Application (BCA) which is just a UG degree…And right now I am in a different industry…If I learn this ,will I be eligible to become a Data Scientist and get a job too…

  21. I am a Political Sciences graduate, but I would like to change my position and becoming a programmer. Is it feasible or it' s science fiction?

  22. python tutorial

    https://www.youtube.com/channel/UCmQ4dYh9zC7BR6weVrQnvaA

  23. Well can u guys suggest some reliable online courses for learning data science? 🙂

  24. i want to get into,one question is,do i start with R or Python?
    I have a background in statistics

  25. Thank you for this information.pls.tell me is data science comes under PR list of australia

  26. "Data Scientist"? American buzzword for a kid who's qualified as a clerk because they know all the computer stuff they teach in a Japanese or Chinese Grade X high school course.

  27. can anyone from a commerce background such as simple graduate in Bachelor of Commerce or a semi qualified Chartered Accountant aspire for learning this course?

  28. And how is this not to be a perfect example of free interpretation of statistical data. The video at 2:50 first suggests that the typical profile of data scientist is one who has 4.5 years of "work experience" and master's degree (or PhD). The video then implies that the data science field is pretty accessible as.. well if you hold master's and have 4.5 years of experience you have some chance. Wow so a master's degree in "David Beckham studies" (a real master's degree you can get in the UK) and 4.5 years of work as a shop assistant are likely to make you are a more suitable candidate than say an Undergraduate from top uni in Statistics or Computer Science, and all you need is to learn basic course in R or Python from 365 DataScience, right? Wrong!

    The video then contradicts itself (although not straight away but at 4.20) by saying- hey but master's really isn't a pre-requisite especially one in a relevant field, because you know Universities don't have many Data Science degrees and if you look at statistics most people hired in data science jobs are not data scientists but are in fact economists, mathematicians, actuaries, engineers etc. Well yes, they are.. because it is an interdisciplinary field with wide application to different sectors, where maths is the core skill which unites all of these fields. The video, however, twists this result to say that universities are struggling to prepare data scientists and in fact, firms would take anyone from any background, as long as the candidates have studied some programming in their spare time. While even the video proves the opposite suggesting that only 9% of people hired come from other sectors. That's also not to say they a philosophy major.

    Really annoying and dirty manipulation of facts by 365 DataScience just to convince people to pay for their courses and a big turn off for anyone with at least some background in statistics and data analysis. If I was 365 DataScience management I'd seriously consider reworking the video as it pretty much discredits the very basic idea behind what these courses are supposed to teach.

  29. Senior Data Scientist at the largest global payments network here.

    I work with petabyte scale tables and fit models that take days to train on parallel computation server clusters.

    According to this video, I should be an poor fit. Here's how I look like:

    Male, above 30
    Bachelors degree in business at 24 yo from a non-branded university
    2 certificates (one from a hacky python bootcamp)

    What this video got right:

    Most of my data scientist colleagues are below 30, have a masters or phd in statistics or data sciences.

    However more than half are women who don't speak English as their first language(China, India, Europe).

    I learned most of my skills over years of getting my hands dirty and on-job-training/self-learning(through youtube, honestly).

  30. I'm in 2nd year in CS field. M currently learning full stack web development But I want to pursue Masters In Data Science as I have interest in that …Can I do It? How? I Know they both are different fields… Plz guide me!

  31. Hey everyone, check out our super-informative webinar “Data Science for Beginners”! It’s free and places are limited, so don’t miss out! Save your spot today here: http://bit.ly/2YqhPeD

    Hope to see you there!

  32. Can a Java developper become a data scientist ??
    I had a mechanic master degree but decided to enter the IT field thanks to different course ( so learning from scratch) but ultimately i wanna do big data to be a data scientist.

  33. I am only B.Tech in ETC.
    Have a good knowledge in SAP and Python .
    Can I engage myself to become a data scientist ?

  34. Can you please tell me the software name to make this animation video…

  35. In India school curriculum is about to include data science and hence you can join as a teacher. Hence lot's of scope.

  36. Becoming a data scientists its not all about the robotic machinery but it has much to do with the intellectual techniques, tutorials are available contact +19089130608

  37. JAVA still exists because of Android (and all the smartphones and tablets in the world are their sustent)

  38. Just Graduated with an eMPA (Hon) Statistics, Multilevel Calculus, Analytics, and Quantitative Analysis encluded in the curriculum)
    Now I am embarking on 18 to 20 Online Courses incrementally. Note: I returned to school after 50 a growing trend with BabyBoomers)

  39. So… basically you're saying as a woman seeking a career change with a bachelor's in psych and a masters in teaching (both from state schools) who is almost 40… I should just shoot myself.

  40. Learn stat and math/calculus as best as you can brothers and sisters. If you understand them properly, R will be like drinking juice

  41. My ex girlfriend had this job at a big company in Korea… she made good money but later quit and moved to North America… she said she’d never go back to that and now is almost a licensed nurse here… there’s a silver lining to everything. Ironically I was interested in this career before I met her and tbh I still am, but data analytics is so broad… Data Scientist is just 1 job title in this field!

  42. Can you kindly suggest me which tool do you use for creating such nice presentations

  43. Nice Video thanks for sharing this video with us , your video content is best for every Data science learner wants more details about Data science click https://goo.gl/SgC1dp

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